Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping

Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping

Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral and light detection and ranging (LiDAR) remote...

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Bibliographic Details
Main Authors: Wenzhi Liao, Frieke Van Coillie, Lianru Gao, Liwei Li, Bing Zhang, Jocelyn Chanussot
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deep learning
remote sensing
data fusion
hyperspectral
LiDAR
Online Access:https://ieeexplore.ieee.org/document/8529194/

Internet

https://ieeexplore.ieee.org/document/8529194/

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